IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Ground Water Analyzation Using Query Optimization And Spatio-Temporal Data Mining Technology

[Full Text]

 

AUTHOR(S)

I. Shahina Begam, K.Tajudin

 

KEYWORDS

Association Rule, Maximum and Minumum, Pre and Post Monsoon, Relational calculus equation and Spatial Temporal Concept

 

ABSTRACT

The perspective of this paper to determines the data mining technology in spatio-temporal concept. Data mining is one of the main research areas to analyse data from the known set of data. The concept of ground water and rain water is very important to make growth of agricultural sectors. The association rule integration algorithm to implement using these two datasets. The ground water data is covered by country of India in the state of Tamilnadu. The query is to describe ground water level in maximum and minimum level in the pre monsoon and post monsoon in each year. The dataset used from the year of 1991 to 2016. The rainwater level compare with ground water in the year of 2011 to 2016.Using constraint checking to make different analyzation and comparisons report. The Predictions are used to give knowledge about the ground water level, rain fall details and maximum ground water level area.

 

REFERENCES

[1]. Durga Karthik and K.Vijayarekha “multivariate data mining techniques for assessing water potability”, Vol. 7 | No.3 |256 – 259 | July – September | 2014 ISSN: 0974-1496 | e-ISSN: 0976-0083 | CODEN: RJCABP .
[2]. Faisal Aburub, Wael Hadi, “Predicting Groundwater Areas Using Data Mining Techniques: Groundwater in Jordan as Case Study”, World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:10, No:9, 2016.
[3]. Himanshu Trivedi, Dr. Amit Dutta, “Parametric Analysis of Water Resource Data (E-Governance Projects) Using Data Mining Techniques”, International Journal of Advanced Trends in Computer Science and Engineering, Vol. 3 , No.2, Pages : 04 - 07 (2014) Special Issue of ICACE 2014 - Held on March 10, 2014 in Hotel Sandesh The Prince, Mysore, India.
[4]. Jalna (Maharashtra-India)”, Int. Journal Of Engineering Research And Applications www.ijera.com Issn : 2248-9622, Vol. 5, Issue 2, ( Part -5) February 2015, Pp.20-29.
[5]. Kamakshaiah.Kolli and R. Seshadri, “ Ground Water Quality Assessment using Data Mining Techniques”, International Journal of Computer Applications (0975 – 8887) Volume 76– No.15, August 2013.
[6]. L.Yeshodha et al., “ Comparative Analysis for Estimation of Groundwater Potential A-Case Study for Hosur Block, Krishnagiri District , Tamil Nadu”, international journal of innovative research in technology&science | volume 1, number5.
[7]. Nallan, S. , & Armstrong, L. “ Assessment of Climate Change Effect on Water Harvesting Structures in Rainfed Regions: Geospatial Data Mining Approach” Proceedings of The Third National Conference on Agro-Informatics and Precision Agriculture 2012. (pp. 201-204). Hyderabad, India. Allied Publishers PVT LTD.
[8]. M Waseem Ashfaque et al., “ Robust Strategies of GIS and Geospatial Data mining techniques for drinking ground water quality management, challenges and issues of Drought Case study
[9]. Oliver López-Corona “Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico”, Journal of Water Resource and Protection, 2016, 8, 522-533 Published Online April 2016 in SciRes. http://www.scirp.org/journal/jwarp,http://dx.doi.org/10.4236/jwarp.2016.84044.
[10]. Pratap Singh Solanki and R. S. Thakur , “ A Review of Literature on Water Resource Management Using Data Mining Techniques”, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2015): 6.391.
[11]. Rosaida Rosly et al., “ The Study on the Accuracy of Classifiers for Water Quality Application”, International Journal of u- and e- Service, Science and Technology Vol.8, No.3 (2015), pp.145-154 http://dx.doi.org/10.14257/ijunesst.2015.8.3.13